Nithin Nagaraj
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- Chaos-based Image/Signal Encryption 7
- Advanced Data Compression Techniques 5
- Signal Processing top 5%
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- Chaos control and synchronization 9
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function 10
- EEG and Brain-Computer Interfaces 6
- Media Technology top 10%
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- Neural Networks and Applications 9
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- Fractal and DNA sequence analysis 7
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- Heart Rate Variability and Autonomic Control 5
- Co-authors
- William A. PearlmanAshraful IslamAmir SaidKarthi BalasubramanianP. G. VaidyaSutirth DeySandipan PatiA S Remya Ajai
- Journals
- The European Physical Journal Special Topics (5 papers)Chaos Solitons & Fractals (2 papers)Communications in Nonlinear Science and Numerical Simulation (2 papers)
- Partner nations
- IndiaUnited StatesCzechia
In The Last Decade
Nithin Nagaraj
43 papers receiving 632 citations
Peers
Comparison fields: 5 of 87
- Computer Vision and Pattern Recognition 394
- Signal Processing 120
- Statistical and Nonlinear Physics 110
- Cognitive Neuroscience 110
- Media Technology 48
Countries citing papers authored by Nithin Nagaraj
This map shows the geographic impact of Nithin Nagaraj's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Nithin Nagaraj with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nithin Nagaraj more than expected).
Fields of papers citing papers by Nithin Nagaraj
This network shows the impact of papers produced by Nithin Nagaraj. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Nithin Nagaraj. The network helps show where Nithin Nagaraj may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nithin Nagaraj, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 0 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 7 | |
| 8 | 2023 | 0 | |
| 9 | 2022 | 14 | |
| 10 | 2022 | 2 | |
| 11 | 2022 | 10 | |
| 12 | 2021 | 4 | |
| 13 | 2021 | 6 | |
| 14 | 2020 | 13 | |
| 15 | 2020 | 4 | |
| 16 | 2019 | 10 | |
| 17 | 2017 | 3 | |
| 18 | 2017 | 12 | |
| 19 | 2017 | 20 | |
| 20 | 2008 | 48 |
About Nithin Nagaraj
Nithin Nagaraj is a scholar working on Statistical and Nonlinear Physics, Computer Vision and Pattern Recognition and Cognitive Neuroscience, having authored 50 papers that have together received 674 indexed citations. Recurring topics across this work include Neural dynamics and brain function (10 papers), Neural Networks and Applications (9 papers), Chaos control and synchronization (9 papers), Fractal and DNA sequence analysis (7 papers), Chaos-based Image/Signal Encryption (7 papers), EEG and Brain-Computer Interfaces (6 papers), Advanced Data Compression Techniques (5 papers) and Heart Rate Variability and Autonomic Control (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (394 citations), Signal Processing (120 citations) and Statistical and Nonlinear Physics (110 citations). Nithin Nagaraj has collaborated with scholars based in India, United States and Czechia. Frequent co-authors include William A. Pearlman, Ashraful Islam, Amir Said, Karthi Balasubramanian, P. G. Vaidya, Sutirth Dey, Sandipan Pati, A S Remya Ajai, Snehanshu Saha and Archana Mathur. Their work appears in journals such as The European Physical Journal Special Topics, Chaos Solitons & Fractals, Communications in Nonlinear Science and Numerical Simulation, PeerJ Computer Science and Chaos An Interdisciplinary Journal of Nonlinear Science.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.